A different investment's total value is tracked over 8 years after it was first invested, but the investor didn't write down the value for a few years. The value of the investment is shown below: Years After 2 3 5 6 7 8. Investment Value of $1273 $1347 $1519 $1609 $1700 $1802 Investment The value of the investment can be modelled by an exponential regression equation.

A different investment's total value is tracked over 8 years after it was first invested, but the investor didn't write down the value for a few years. The value of the investment is shown below: Years After 2 3 5 6 7 8. Investment Value of $1273 $1347 $1519 $1609 $1700 $1802 Investment The value of the investment can be modelled by an exponential regression equation.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The table below shows the value, V, of an investment (in dollars) n years after 1992. 1 3 7 4120 4283 4919 12 14 5874 6050 n V(n) 6663 Use your calculator to determine the exponential regression equation that models the set of data above. Round the "a" value to the nearest whole number, and round the "b" value to three decimals. Use the indicated variables and proper function notation. V(n) Based on the your regression model, what is the percent increase per year? The value of this investment is increasing at a rate of % per year. Based the your regression model, what is value of this investment in the year 1992? Round your answer to the nearest dollar. The value of this investment is $ in the year 1992. Based on the your regression model, what is value of this investment in the year 2002? Round your answer to the nearest dollar. The value of this investment is S in the year 2002.
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A biology student is investigating the claim that the temperature can be predicted by counting cricket chirps. She has found a linear regression equation T=42.2+0.21r, where T is the temperature in degrees Fahrenheit and r is the number of chirps per minute. What is the predicted temperature for 90 chirps per minute? 18.9 degrees 227.6 degrees 23.3 degrees 61.1 degrees
Statistics - Regression Analysis
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